vae topic
tensorflow-generative-model-collections
Collection of generative models in Tensorflow
variational-autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Awesome-VAEs
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
tensorflow-mnist-VAE
Tensorflow implementation of variational auto-encoder for MNIST
pytorch-rl
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
VAE-CVAE-MNIST
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
CADA-VAE-PyTorch
Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
pytorch-vae
A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
Variational-Recurrent-Autoencoder-Tensorflow
A tensorflow implementation of "Generating Sentences from a Continuous Space"
Variational-Lstm-Autoencoder
Lstm variational auto-encoder for time series anomaly detection and features extraction